CIIR researchers will present six papers and two workshops at the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) in Washington, D.C. in July. SIGIR is the premier international forum for the presentation of new research results and for the demonstration of new systems and techniques in information retrieval.
Papers:
Evaluating Retriever in Retrieval-Augmented Generation
Alireza Salemi, Hamed Zamani
Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
Alireza Salemi, Surya Kallumadi, Hamed Zamani
Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding
Hansi Zeng, Chen Luo, Hamed Zamani
ProCIS: A Benchmark for Proactive Retrieval in Conversations
Chris Samarinas, Hamed Zamani
Stochastic Expected Utility Maximization for Retrieval-Augmented Generation
Hamed Zamani, Michael Bendersky
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Language Models
Alireza Salemi, Hamed Zamani
Workshop Organization:
SIGIR 2024 Workshop on Large Language Models for Individuals, Groups, and Society (LLM-IGS @ SIGIR 2024)
Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang
SIGIR 2024 Workshop on Personalization and Recommendations in Search (PaRiS @ SIGIR 2024)
Sudarshan Lamkhede, Hamed Zamani, Moumita Bhattacharya, Hongning Wang
Papers are sorted in alphabetical order. Bold author names represent current UMass/CIIR affiliates. In addition to the current CIIR researchers represented, CIIR Phd alums Michael Bendersky and Vanessa Murdock are collaborating with Prof. Hamed Zamani on one of the workshops that will be presented at SIGIR 2024.